DocumentCode :
2083868
Title :
Denoising of SAR Images Based on Wavelet Packet
Author :
Ai, Wei-hua ; Yun-xian Huang ; Chao-ling Shen ; Xi-Chuan Liu
Author_Institution :
Inst. of Meteorol., PLA Univ. of Sci. & Technol., Nanjing, China
fYear :
2009
fDate :
17-19 Oct. 2009
Firstpage :
1
Lastpage :
4
Abstract :
The SAR remote sensing images are interfered by noises during the detection and transmission, a method based on wavelet packet and level dependent adaptive threshold is proposed in this paper. By using this method, the SAR images can be decomposed in a more elaborate method compared to the traditional wavelet transform, and the noises in the SAR images are eliminated by the adaptive threshold method. The experiment results show that this method can reduce the noises efficiently. The PSNR and the subjective vision of the results have better performances than the result of traditional wavelet transform method.
Keywords :
image denoising; radar imaging; synthetic aperture radar; wavelet transforms; PSNR; SAR image; adaptive threshold; image denoising; subjective vision; wavelet packet; Degradation; Discrete wavelet transforms; Frequency; Layout; Multiresolution analysis; Noise reduction; PSNR; Speckle; Wavelet packets; Wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4244-4129-7
Electronic_ISBN :
978-1-4244-4131-0
Type :
conf
DOI :
10.1109/CISP.2009.5301438
Filename :
5301438
Link To Document :
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